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NVIDIA H800

Achieve excellent performance, scalability, and security in each workload through NVIDIA H800 Tensor Core GPU. Using NVIDIA ® NVLink ® The Switch system can connect up to 256 H800s to accelerate exascale workloads, and can also handle trillions of parameter language models through a dedicated Transformer engine. Compared to the previous generation of products, the comprehensive technological innovation of H800 can increase the speed of large language models by 30 times, providing industry-leading conversational AI.

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Model name NVIDIA H800 80G PCIe 

GPU graphics memory 80GB HBM2e

Memory bandwidth 2TB/s 

CUDA core 14592

Hardware interface PCIe 5.0 x16 

ray tracing No

The chip architecture Hopper 

NVLINK supports the use of a bridge

VGPU support is 

FP16 Tensor Core 756.5 TFLOPS

Multi instance GPU (MIG): Up to 7 MIGs, each 10GB

Power consumption: 300-350w


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E-mail: zero@zarecloud.com

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